What Affects MFP in the Long-Run? Evidence from Canadian Industries Staff Working Paper 2008-4 Danny Leung, Yi Zheng In this paper we explore variables that may have an impact on multifactor productivity (MFP) in the long-run using the KLEMS database for Canada. We estimate a dynamic heterogeneous panel error-correction model of twelve 2-digit level industries. Content Type(s): Staff research, Staff working papers Topic(s): Productivity JEL Code(s): C, C2, C23, D, D2, D24, O, O3, O30